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 Application of home automation system for assisted living services in home healthcare
Tác giả hoặc Nhóm tác giả: Trương Thị Bích Thanh, Trần Thái Anh Âu
Nơi đăng: Proceedings of The 2017 International Conference on Advanced Technologies for Communications (ATC); Số: ATC 2017;Từ->đến trang: 150-155;Năm: 2017
Lĩnh vực: Khoa học công nghệ; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
The increasing cost of aging population and dependency is an unquestionable and worrying trend. But the constant progress of information technologies also provides real opportunities to improve the healthcare and assistance of dependent people. In this context, this article proposes an original proactive solution for home monitoring, by applying classification methods to this new field of study. Existing home automation and multimedia services are used as built-in sensors for the analysis of user habits; assisted living services are then proposed to the user. Firstly, an original clustering procedure is performed for activity recognition to offer self-adapting scenarios to user capabilities, based on a non-supervised classification method. A dynamic adaptation follows to adapt to the changes of user habits. The simulation show that it can help to improve user autonomy while facilitating their uses of daily services.
ABSTRACT
The increasing cost of aging population and dependency is an unquestionable and worrying trend. But the constant progress of information technologies also provides real opportunities to improve the healthcare and assistance of dependent people. In this context, this article proposes an original proactive solution for home monitoring, by applying classification methods to this new field of study. Existing home automation and multimedia services are used as built-in sensors for the analysis of user habits; assisted living services are then proposed to the user. Firstly, an original clustering procedure is performed for activity recognition to offer self-adapting scenarios to user capabilities, based on a non-supervised classification method. A dynamic adaptation follows to adapt to the changes of user habits. The simulation show that it can help to improve user autonomy while facilitating their uses of daily services
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